Prevention

Pre-operative concerns and post-operative satisfaction: comparing attitudes toward bariatric surgery and medication intervention for weight loss on Reddit.

BACKGROUND: Patient perceptions influence the success of bariatric surgery and pharmacologic weight loss therapies, yet many concerns never reach providers during clinic visits. Reddit, a popular online community, offers a window to explore these concerns outside clinical settings. We leveraged natural language processing (NLP) to compare user-submitted content across communities in surgical and n...

Stage-specific predictors of exercise adherence after percutaneous coronary intervention: a prospective multicenter study.

BACKGROUND: The efficacy of exercise after Percutaneous Coronary Intervention (PCI) is compromised by poor long-term adherence. Although multiple influencing factors are recognized, their dynamic evolution and relative importance across different stages remain unclear, hindering the development of targeted interventions. OBJECTIVE: To characterize longitudinal patterns of exercise adherence and id...

Device-measured movement behaviours and cancer incidence in a population sample of UK adults: Dual 24-hour analyses of postural and intensity compositions.

BACKGROUND: Insufficient physical activity (PA) and excessive sedentary behaviour is associated with several cancers. Personalised approaches to incre...

Truth, tone, and trust: integrating an AI exercise to foster responsible science communication in a graduate biomedical science course.

As generative AI becomes a standard fixture in graduate education, the pedagogical challenge has shifted from detection to integration. This article d...

Interpretable machine-learning survival prediction of breast cancer prognosis from lifestyle factors: evidence from UK biobank.

BACKGROUND: Understanding how lifestyle habits influence breast cancer survival is crucial for improving long-term outcomes and guiding individualized...

Understanding HFpEF Through Imaging: Strengths, Limitations, and Current State of the Art.

Heart failure with preserved ejection fraction (HFpEF) is a clinical syndrome characterized by dyspnea caused by hemodynamic congestion, which develop...

Anticipating the Impact of AI on Diet and Exercise Apps: Foresight Study Applying the Futures Wheel.

AI has entered the wellness space through apps and wearables. These technologies can collect real-time data, infer lifestyle patterns, and dynamically...

Effectiveness of an AI-augmented teacher feedback model in improving medical students' clinical documentation skills: a retrospective cohort study.

BACKGROUND: Clinical documentation is central to evaluating medical students' clinical competence. However, traditional teacher feedback is often inef...

Multi-component exercise intervention methods for intelligent assisted diagnosis of sarcopenia in the elderly based on deep learning.

Population aging has made sarcopenia a major public health challenge in geriatric medicine. Current clinical diagnosis relies on large specialized equ...

Thinking about the Impact of Artificial Intelligence on U.S. Health Care Costs and Spending Growth.

This article critically examines the potential impacts of artificial intelligence (AI) on prices, total spending, and the rate of spending growth in t...

Serum 1H NMR-Based Untargeted Metabolomics for Noninvasive Early Detection of Breast Cancer.

Breast cancer (BC) is the most common malignancy among women, and late-stage presentation remains common in Asia, highlighting the need for affordable...

Integrating skeleton based representations for robust yoga pose classification using deep learning models.

Yoga is a popular form of exercise worldwide due to its spiritual and physical health benefits, but incorrect postures can lead to injuries. Automated...

Interactions between minimal amount of exercise and low-density lipoprotein cholesterol on incident dementia after stroke.

Cognitive impairment often follows stroke. Regular physical activity has been shown to be associated with reduced dementia risk, while the association...

Wearable fatigue detection system for wheelchair propulsion: Identifying key muscles via an attention-based LSTM Model.

Fatigue induces adverse short- and long-term health risks in wheelchair users. This study aimed to develop a machine learning approach to predict fati...

Prediction of Exercise Intolerance in the Recovery Period After Cardiovascular Surgery Using Perioperative Clinical Parameters.

OBJECTIVE: To develop and validate a machine learning model for predicting reduced exercise capacity at 3 months postoperatively using clinical parame...

Cartilage oligomeric matrix protein inhibits CKD-associated vascular calcification by suppressing PANoptosis in VSMCs via the AT1R/β-arrestin-2 axis.

Vascular calcification (VC), a common complication of chronic kidney disease (CKD), substantially contributes to cardiovascular morbidity. Although di...

Unsupervised machine learning derived bone phenotypes exhibit differential biomarker responses following acute ballistic loaded exercise.

Resistance exercise can stimulate new bone formation and result in changes to circulating markers of bone metabolism, but the relationship between the...

Technology-enabled telerehabilitation for Parkinson's disease: a scoping review of digital rehabilitation systems, delivery architectures, and implementation challenges.

INTRODUCTION: Digital technologies are increasingly integrated into neurorehabilitation programs for Parkinson's Disease (PD), enabling remote deliver...

Quality and nutritional accuracy of mHealth nutrition apps in Türkiye: A validation study using food records.

Background: Mobile health (mHealth) applications are increasingly used for dietary assessment and self-monitoring, yet their validity and comprehensiv...

Revolutionizing Nutrition: AI-Driven Health Solutions and Personalized Diets.

Artificial Intelligence (AI) is revolutionizing health and nutrition, significantly advancing personalized dietary management and health optimization....